Iris Yoon is an applied mathematician and assistant professor with a decade of experience developing data science methods at the intersection of algebraic topology, network science, and machine learning. She has translated theoretical advances into practical algorithms—creating distributed persistent homology computations and a polynomial-time method for comparing functional brain networks—while implementing tools in Python and Julia. Her academic path includes postdoctoral research at Oxford and multiple US institutions, and recent faculty roles at Wesleyan and Swarthmore, where she brings research into the classroom. Beyond topology, she has applied her expertise to problems in computational neuroscience and RNA structure prediction, often improving clustering and simulation components of domain-specific pipelines. Colleagues know her for combining rigorous theory with reproducible software and for finding cross-disciplinary applications of topological methods.
10 years of coding experience
11 years of employment as a software developer
Bachelor of Arts - BA, Mathematics, Bachelor of Arts - BA, Mathematics at Swarthmore College
Doctor of Philosophy - PhD, Applied Mathematics and Computational Sciences, Doctor of Philosophy - PhD, Applied Mathematics and Computational Sciences at University of Pennsylvania
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